1994
DOI: 10.1093/fampra/11.2.176
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Scientific Rigour in Qualitative Research—Examples From a Study of Women's Health in Family Practice

Abstract: The increase in qualitative research in family medicine raises a demand for critical discussions about design, methods and conclusions. This article shows how scientific claims for truthful findings and neutrality can be assessed. Established concepts such as validity, reliability, objectivity and generalization cannot be used in qualitative research. Alternative criteria for scientific rigour, initially introduced by Lincoln and Guba, are presented: credibility, dependability, confirmability and transferabili… Show more

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Cited by 116 publications
(103 citation statements)
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“…An allied issue is that familiarity of the ''insider'' with the area of study may dominate the process of data analysis [34] and prevent novel insights [35]. Obtaining sufficient distance from the topic being investigated may be problematic when interviewing fellow GPs [15,17].…”
Section: Discussionmentioning
confidence: 99%
“…An allied issue is that familiarity of the ''insider'' with the area of study may dominate the process of data analysis [34] and prevent novel insights [35]. Obtaining sufficient distance from the topic being investigated may be problematic when interviewing fellow GPs [15,17].…”
Section: Discussionmentioning
confidence: 99%
“…Data were analysed qualitatively, inspired by the steps of grounded theory [8], modified according to Malterud's recommendations [9,10], but also considering criteria of scientific rigour [11,12]. Data analysis was undertaken directly after each interview, making it possible to follow up analytical hypotheses in the next interview, and to look for confirmation or negative cases.…”
Section: Discussionmentioning
confidence: 99%
“…Credibility was achieved through a thoroughness of data collection and analysis, using a carefully selected sample [59] and presenting the findings using quotes. Dependability was created through describing the research process in a transparent way, as easy for readers to follow as possible [60] . Transferability deals with the extent to which the findings can be transferred to other settings [47] .…”
Section: Strengths and Limitationsmentioning
confidence: 99%